US7160083B2 - Method and apparatus for wind turbine rotor load control - Google Patents

Method and apparatus for wind turbine rotor load control Download PDF

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Publication number
US7160083B2
US7160083B2 US10/357,522 US35752203A US7160083B2 US 7160083 B2 US7160083 B2 US 7160083B2 US 35752203 A US35752203 A US 35752203A US 7160083 B2 US7160083 B2 US 7160083B2
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Prior art keywords
wind turbine
load
sensors
main shaft
blades
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US20040151577A1 (en
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Kirk G. Pierce
David Lawrence LeMieux
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General Electric Co
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General Electric Co
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Assigned to GENERAL ELECTRIC COMPANY reassignment GENERAL ELECTRIC COMPANY ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: LEMIEUX, DAVID LAWRENCE, PIERCE, KIRK G.
Priority to US10/620,485 priority patent/US7004724B2/en
Publication of US20040151577A1 publication Critical patent/US20040151577A1/en
Priority to US11/218,358 priority patent/US7322794B2/en
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D7/00Controlling wind motors 
    • F03D7/02Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor
    • F03D7/0204Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor for orientation in relation to wind direction
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D17/00Monitoring or testing of wind motors, e.g. diagnostics
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05BINDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00Control
    • F05B2270/80Devices generating input signals, e.g. transducers, sensors, cameras or strain gauges
    • F05B2270/821Displacement measuring means, e.g. inductive
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

Definitions

  • the invention relates to wind turbines. More particularly, the invention relates to wind turbine load control.
  • Utility grade wind turbines i.e., wind turbines designed to provide electrical power to a utility grid
  • can have large rotors e.g., 30 or more meters in diameter.
  • Asymmetric loading across these rotors occurs due to vertical and horizontal wind shears, yaw misalignment and turbulence. These asymmetric loads contribute to extreme loads, and the quantity of fatigue cycles on the rotor blades and other wind turbine components.
  • FIG. 1 is one embodiment of a portion of a wind turbine.
  • FIG. 2 is a block diagram of one embodiment of a system to control blade pitch based on sensor measurements.
  • FIG. 3 is a block diagram of one embodiment of a turbine controller.
  • FIG. 4 is a flow diagram of one embodiment of a process for controlling wind turbine blade pitch in response to component displacement.
  • FIG. 5 a illustrates a first proximity sensor facing the main shaft flange from a view facing the hub.
  • FIG. 5 b illustrates the first proximity sensor facing the main shaft flange from a side view.
  • FIG. 5 c illustrates a second proximity sensor facing the main shaft flange at a 90° angle with respect to the first proximity sensor.
  • FIG. 6 illustrates one embodiment of a hub having a strain gauge.
  • FIG. 7 illustrates one embodiment of a wind turbine having an inertial measurement unit (IMU).
  • IMU inertial measurement unit
  • FIG. 8 illustrates one embodiment of strain gauges attached to the main shaft.
  • FIG. 9 illustrates one embodiment of proximity sensors attached to the main shaft.
  • FIG. 10 illustrates one embodiment of a ring gear sensor to measure the displacement of the gear box, relative to the bedplate.
  • the blade pitch change needed to reduce the load, and thereby reduce fatigue and loading on various turbine components can be determined.
  • a Parks DQ transformation, a bias estimation method calculation and/or other control techniques are used to calculate the pitch increment for each rotor blade to reduce the overall asymmetric rotor loading. Fatigue and extreme loads of the rotor blades and other turbine components can be reduced using this technique.
  • Determination of the rotor loading can be obtained from sensors that measure displacement or strain of the shaft flange using sensor technologies based on acoustic, optical, magnetic, capacitive or inductive field effects.
  • proximity sensors are used to measure the main shaft flange displacement relative to a non-deflecting reference frame.
  • the non-deflecting reference frame may be, for example, the bedplate or the housing of the low-speed shaft main bearing.
  • the deflecting frame may be the main shaft flange, the hub, or other surfaces on the rotor or shaft.
  • a minimum of three sensors measuring shaft flange displacement are used to distinguish between shaft bending and shaft axial displacement.
  • sensors for purposes of sensor redundancy, four sensors are used. Using four sensors, in one embodiment the sensors are located 90° apart on the flange surface. As described in greater detail below, additional and/or different sensors can also be used.
  • FIG. 1 is one embodiment of a portion of a wind turbine.
  • the components of FIG. 1 except for rotor hub 110 , are typically housed in nacelle 185 atop tower 190 .
  • the height of tower 190 can be selected based on factors and conditions well-known in the art.
  • wind turbine components include a distributed microcontroller based control system including control panel 195 .
  • multiple microcontrollers (not shown in FIG. 1 ) are used for overall system monitoring and control including pitch and speed regulation, high-speed shaft and yaw brake application, yaw and pump motor application and fault monitoring.
  • Alternative distributed or centralized control architectures can also be used.
  • control system provides control signals to pitch drive 120 to control the pitch of blades (not shown in FIG. 1 ) that drive rotor hub 110 as a result of aerodynamic forces on the blades.
  • pitch drive 120 receives three blades; however, any number of blades can be used.
  • the pitch of the blades can be individually controlled by pitch drive 120 .
  • Rotor hub 110 and the turbine blades combine to form a wind turbine rotor.
  • the turbine drive train includes rotor shaft 175 connected to rotor hub 110 and gear box 160 that, in one embodiment, drives a high speed shaft enclosed within gear box 160 .
  • the high speed shaft is used to drive generator 150 .
  • generator 150 is mounted on main frame 175 .
  • rotor torque is transmitted through a torque limiting coupling 165 .
  • Other types of generators for example, wound rotor induction generators can also be used.
  • Yaw drive 170 and yaw deck 180 provide a yaw control system for the wind turbine.
  • the yaw system is electrically operated and controlled by the control system based on information received from wind vane 155 mounted on nacelle 185 .
  • one or more proximity sensors connected to the nacelle fixed frame determine a deflection of a shaft flange from a predetermined resting or “no load” position.
  • the shaft flange is positioned around rotor shaft 175 where rotor shaft 175 exits rotor hub 110 .
  • the shaft flange is illustrated in greater detail in the figures discussed below, for example, FIGS. 5 a through 5 c.
  • the “no load” position is determined during an initialization process, using turbine controller computations of main shaft flange sensor signals during a rotor slow roll operation (this can occur at system start-up with all rotor blades pitched to, for example, 65-degrees). Deflection is measured as bending of the low-speed shaft and/or main shaft flange resulting from applied aerodynamic bending moments on the rotor blade(s).
  • a turbine controller can determine the loads on the blades that caused the deflection detected by the sensors. With this information, the turbine controller can cause the pitch of the blades to be changed to reduce the load on the blades or to reduce the asymmetrical nature of the loads (i.e., to cause a more symmetric load on the rotor).
  • FIG. 2 is a block diagram of one embodiment of a system to control blade pitch based on sensor measurements.
  • Proximity sensor(s) 200 generate signals in response to deflection of wind turbine components, for example, the main shaft flange.
  • Turbine controller 210 is coupled to sensor(s) 200 to receive the signals generated by sensor(s) 200 .
  • Turbine controller 210 analyzes the signals to determine the forces that caused the deflection of the turbine component.
  • turbine controller 210 includes a processor that receives signals (either analog or digital signals) that indicate the output of sensor(s) 200 .
  • the processor can be, for example, a general purpose processor that executes instructions, a hardwired control circuit, or a combination of a general purpose processor and hardwired circuitry.
  • turbine controller In response to the signals received from sensor(s) 200 , turbine controller generates control signals that are transmitted to blade pitch controller 220 .
  • Blade pitch controller 220 is coupled to one or more blade rotation drives (e.g., 230 , 240 , 250 ) that control the pitch of the blades of the wind turbine. By varying the pitch of the blades, the magnitude and/or the duration of loads placed on the turbine can be reduced thereby improving the overall performance of the wind turbine.
  • blade rotation drives e.g., 230 , 240 , 250
  • input signals are blade azimuth position (for all blades), speed of low-speed shaft, and generator output (feedback control is only used at above rate conditions, although it could be used at all conditions in the future).
  • Blade azimuth and low-speed shaft speed can be obtained using, for example, digital output proximity sensors producing pulses from the low-speed shaft bolt pattern.
  • FIG. 3 is a block diagram of one embodiment of a turbine controller.
  • Turbine controller 380 includes bus 300 or other communication device to communicate information, and processor 310 coupled to bus 300 to process information. While turbine controller 380 is illustrated with a single processor, turbine controller 380 can include multiple processors and/or co-processors.
  • Turbine controller 380 further includes random access memory (RAM) or other dynamic storage device 320 (referred to as memory), coupled to bus 300 to store information and instructions to be executed by processor 310 .
  • RAM random access memory
  • Memory 320 also can be used to store temporary variables or other intermediate information during execution of instructions by processor 310 .
  • Turbine controller 380 can also include read only memory (ROM) and/or other static storage device 330 coupled to bus 300 to store static information and instructions for processor 310 .
  • Data storage device 340 is coupled to bus 300 to store information and instructions.
  • Input/output device(s) 350 can include any device known in the art to provide input data to turbine controller 380 and/or receive output data from turbine controller 380 .
  • Instructions are provided to memory from a storage device, such as magnetic disk, a read-only memory (ROM) integrated circuit, CD-ROM, DVD, via a remote connection that is either wired or wireless providing access to one or more electronically-accessible media, etc.
  • a storage device such as magnetic disk, a read-only memory (ROM) integrated circuit, CD-ROM, DVD
  • ROM read-only memory
  • CD-ROM compact disc-read only memory
  • DVD digital versatile discs
  • ROM read-only memory
  • hard-wired circuitry can be used in place of or in combination with software instructions.
  • execution of sequences of instructions is not limited to any specific combination of hardware circuitry and software instructions.
  • Sensor interface 360 is an interface that allows turbine controller 380 to communicate with one or more sensors within a wind turbine.
  • sensor interface 360 can be coupled to receive output signals from one or more sensors that detect deflection or loading of wind turbine components as described above.
  • Sensor interface 360 can be, for example, an analog-to-digital converter that converts an analog voltage signal generated by the sensors to a multi-bit digital signal to be used by processor(s) 310 .
  • Processor(s) 310 can then analyze the data and transmit data to a blade pitch controller through input/output device(s) 350 to cause the blade pitch controller to change the pitch of one or more blades of the wind turbine. Processor(s) 310 can also take other actions in response to the signals from the sensors. For example, processor(s) 310 can cause a brake to be applied to stop or slow rotation of the hub or of a rotating shaft.
  • FIG. 4 is a flow diagram of one embodiment of a process for controlling wind turbine blade pitch in response to component (e.g., main shaft flange) displacement.
  • Signals from one or more sensors are received (processing block 410 ).
  • the component receiving the signals e.g., a processor, an analog-to-digital converter
  • the component receiving the signals is coupled with the sensors and converts the signals to a usable format, if necessary.
  • control circuitry determines the load on one or more wind turbine components using the signals from the sensors (processing block 420 ).
  • the control circuitry can use any mathematical equations known in the art to convert between the input data (e.g., magnitude of displacement) to relevant load data (e.g., forces exerted on a blade of the wind turbine).
  • relevant load data e.g., forces exerted on a blade of the wind turbine.
  • the load on the rotor blades that caused the displacement as well as any asymmetrical properties of the load can also be determined by the control circuitry.
  • the control circuitry determines a response to the load condition (processing block 430 ). For example, in response to an increased load on a blade of the turbine, the control circuitry can determine that the response should be to change the pitch of one or more of the blades of the wind turbine. As another example, the control circuitry can determine that the response should be the application of a brake to stop or slow rotation of the hub.
  • the control circuitry generates the signal to enable the selected response (processing block 440 ).
  • the control circuitry can generate a signal in the form of, for example, a data packet or a set of control signals transmitted over individual control lines, to cause a blade pitch controller to change the pitch of one or more blades. If the selected response fails to cause the wind turbine to operate within an acceptable operating range (processing block 450 ), the process can be repeated as necessary.
  • FIG. 5 a illustrates a first proximity sensor facing the main shaft flange from a view facing the hub.
  • proximity sensor 500 is connected to a sensor bracket that is that is connected between main shaft flange 520 and main bearing 530 .
  • Other connection techniques as well as other locations can also be used. Any type of proximity sensor known in the art can be used.
  • Sensor 500 detects motion of main shaft flange 520 in one direction.
  • additional sensors for example, the sensor of FIG. 5 c, described below
  • FIG. 5 b illustrates the first proximity sensor facing the main shaft flange from a side view.
  • FIG. 5 c illustrates a second proximity sensor facing the main shaft flange at a 90° angle with respect to the first proximity sensor.
  • sensor 550 is positioned in a plane that is orthogonal to the plane of sensor 500 (in FIGS. 5 a and 5 b ).
  • sensor bracket 560 is connected between main shaft flange 520 and main bearing 530 . Other connections and other positions can also be used.
  • Additional and/or other sensors can be used to determine deflection of components other than the main shaft flange.
  • one or more of the blades of the wind turbine have a proximity sensor to sense forces on the blades.
  • the proximity sensors in the blades are coupled to the turbine controller to provide data to the turbine controller that can be used to determine loads placed on the blades.
  • the turbine controller can, for example, change the pitch of the blades to reduce the loads placed on the blades by wind or other environmental conditions.
  • FIG. 6 illustrates one embodiment of a hub having a strain gauge.
  • quarter bridge welded strain gauge e.g., 600
  • data logger 620 is also located inside of hub 610 and is configured to acquire data from the strain gauge(s).
  • FIG. 7 illustrates one embodiment of a wind turbine having an inertial measurement unit (IMU).
  • IMU 700 is connected to main shaft flange 520 .
  • IMU 700 is a gyroscope and accelerometer-based device that provides measurement of roll, pitch and yaw angles, and three axis accelerations.
  • IMU 700 is coupled to a turbine controller that determines loads based on IMU measurements.
  • FIG. 8 illustrates one embodiment of strain gauges attached to the main shaft.
  • the main shaft is instrumented with weldable strain gauges at 0°, 45° and 90° azimuth. Zero degrees azimuth is defined as blade number one positioned vertically. Alternate positions can also be used for the main shaft strain gauges, for example, strain gauges can be positioned within one or more T-bolts.
  • the main shaft strain gauges are coupled to the turbine controller, which analyzes the data provide by the main shaft strain gauges to determine loads placed on the main shaft and determines whether to change the pitch of the rotor blades.
  • FIG. 9 illustrates one embodiment of proximity sensors attached to the main shaft.
  • main shaft proximity sensors e.g., 910 , 920 , 930
  • Sensors 910 and 920 detect rotational rate and sensor 930 detects blade azimuth position. Alternate sensor positions can also be used.
  • proximity sensors can be attached to the blades.
  • FIG. 10 illustrates one embodiment of ring gear sensor 1000 to measure the displacement of gear box 1010 , relative to the bedplate.
  • Support bracket 1020 is connected to the bedplate (not shown in FIG. 10 ) and positions the sensor adjacent to gear box 1010 .
  • ring gear sensor 1000 detects deflection of gear box 1010 with respect to the bedplate.
  • ring gear proximity sensors are located at 90° with respect to each other along the perimeter of the gear box ring gear.

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Abstract

Vertical and horizontal wind shears, yaw misalignment and/or turbulence act together to produce asymmetric loading across a wind turbine rotor. The resultant load produces bending moments in the blades that are reacted through the hub and subsequently to the low-speed shaft. As a result, the main shaft and main shaft flange are displaced from their at rest or non-aerodynamic load positions. The amount of shaft flange displacement is measured using one or more sensors. The output signals from the sensors are used to determine the magnitude and/or the orientation of the resultant rotor load. This information is used to effect the blade pitch change needed to reduce the load and thereby reduce fatigue and loading on various turbine components.

Description

FIELD
The invention relates to wind turbines. More particularly, the invention relates to wind turbine load control.
BACKGROUND
Utility grade wind turbines (i.e., wind turbines designed to provide electrical power to a utility grid) can have large rotors (e.g., 30 or more meters in diameter). Asymmetric loading across these rotors occurs due to vertical and horizontal wind shears, yaw misalignment and turbulence. These asymmetric loads contribute to extreme loads, and the quantity of fatigue cycles on the rotor blades and other wind turbine components.
Various techniques have been developed to reduce fatigue caused by asymmetric loading of rotors. For example, in “Reduction of Fatigue Loads on Wind Energy Converters by Advanced Control Methods” by P. Caselitz, et al., European Wind Energy Conference, October 1997, Dublin Castle, Ireland, a technique for active damping of tower oscillations is disclosed. However, the techniques of Caselitz, et al. are based on tilt and yaw of the tower, which provides only general information about the loads on individual wind turbine components.
BRIEF DESCRIPTION OF THE DRAWINGS
The invention is illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings in which like reference numerals refer to similar elements.
FIG. 1 is one embodiment of a portion of a wind turbine.
FIG. 2 is a block diagram of one embodiment of a system to control blade pitch based on sensor measurements.
FIG. 3 is a block diagram of one embodiment of a turbine controller.
FIG. 4 is a flow diagram of one embodiment of a process for controlling wind turbine blade pitch in response to component displacement.
FIG. 5 a illustrates a first proximity sensor facing the main shaft flange from a view facing the hub.
FIG. 5 b illustrates the first proximity sensor facing the main shaft flange from a side view.
FIG. 5 c illustrates a second proximity sensor facing the main shaft flange at a 90° angle with respect to the first proximity sensor.
FIG. 6 illustrates one embodiment of a hub having a strain gauge.
FIG. 7 illustrates one embodiment of a wind turbine having an inertial measurement unit (IMU).
FIG. 8 illustrates one embodiment of strain gauges attached to the main shaft.
FIG. 9 illustrates one embodiment of proximity sensors attached to the main shaft.
FIG. 10 illustrates one embodiment of a ring gear sensor to measure the displacement of the gear box, relative to the bedplate.
DETAILED DESCRIPTION
Vertical and horizontal wind shears, yaw misalignment and/or turbulence act together to produce asymmetric loading across a wind turbine rotor. The resultant load produces bending moments in the blades that are reacted through the hub and subsequently to the low-speed shaft. As a result, the main shaft and main shaft flange are displaced from their at rest positions. The amount of shaft flange displacement can be measured using one or more sensors. The output signals from the sensors can then be used to determine the magnitude and/or the orientation of the resultant rotor load. Some types of turbines do not have a main shaft or a main shaft flange. In these turbines, any surface on the rotor side that can be deflected relative to the nacelle can be used to measure loading. This can be, for example, a machined hub surface, a mounting flange or an attached ring plate.
The blade pitch change needed to reduce the load, and thereby reduce fatigue and loading on various turbine components, can be determined. In one embodiment, a Parks DQ transformation, a bias estimation method calculation and/or other control techniques are used to calculate the pitch increment for each rotor blade to reduce the overall asymmetric rotor loading. Fatigue and extreme loads of the rotor blades and other turbine components can be reduced using this technique.
Determination of the rotor loading can be obtained from sensors that measure displacement or strain of the shaft flange using sensor technologies based on acoustic, optical, magnetic, capacitive or inductive field effects. In one embodiment, proximity sensors are used to measure the main shaft flange displacement relative to a non-deflecting reference frame. The non-deflecting reference frame may be, for example, the bedplate or the housing of the low-speed shaft main bearing. The deflecting frame may be the main shaft flange, the hub, or other surfaces on the rotor or shaft. In one embodiment, a minimum of three sensors measuring shaft flange displacement are used to distinguish between shaft bending and shaft axial displacement.
In one embodiment, for purposes of sensor redundancy, four sensors are used. Using four sensors, in one embodiment the sensors are located 90° apart on the flange surface. As described in greater detail below, additional and/or different sensors can also be used.
FIG. 1 is one embodiment of a portion of a wind turbine. The components of FIG. 1, except for rotor hub 110, are typically housed in nacelle 185 atop tower 190. The height of tower 190 can be selected based on factors and conditions well-known in the art. In one embodiment, wind turbine components include a distributed microcontroller based control system including control panel 195. In such an embodiment, multiple microcontrollers (not shown in FIG. 1) are used for overall system monitoring and control including pitch and speed regulation, high-speed shaft and yaw brake application, yaw and pump motor application and fault monitoring. Alternative distributed or centralized control architectures can also be used.
In one embodiment, the control system provides control signals to pitch drive 120 to control the pitch of blades (not shown in FIG. 1) that drive rotor hub 110 as a result of aerodynamic forces on the blades. In one embodiment, rotor hub 110 receives three blades; however, any number of blades can be used. In one embodiment, the pitch of the blades can be individually controlled by pitch drive 120. Rotor hub 110 and the turbine blades combine to form a wind turbine rotor.
The turbine drive train includes rotor shaft 175 connected to rotor hub 110 and gear box 160 that, in one embodiment, drives a high speed shaft enclosed within gear box 160. The high speed shaft is used to drive generator 150. In one embodiment, generator 150 is mounted on main frame 175. In one embodiment, rotor torque is transmitted through a torque limiting coupling 165. Other types of generators, for example, wound rotor induction generators can also be used. Yaw drive 170 and yaw deck 180 provide a yaw control system for the wind turbine. In one embodiment, the yaw system is electrically operated and controlled by the control system based on information received from wind vane 155 mounted on nacelle 185.
As described in greater detail below, one or more proximity sensors connected to the nacelle fixed frame determine a deflection of a shaft flange from a predetermined resting or “no load” position. The shaft flange is positioned around rotor shaft 175 where rotor shaft 175 exits rotor hub 110. The shaft flange is illustrated in greater detail in the figures discussed below, for example, FIGS. 5 a through 5 c.
In one embodiment, the “no load” position is determined during an initialization process, using turbine controller computations of main shaft flange sensor signals during a rotor slow roll operation (this can occur at system start-up with all rotor blades pitched to, for example, 65-degrees). Deflection is measured as bending of the low-speed shaft and/or main shaft flange resulting from applied aerodynamic bending moments on the rotor blade(s).
Using data from the sensors, a turbine controller can determine the loads on the blades that caused the deflection detected by the sensors. With this information, the turbine controller can cause the pitch of the blades to be changed to reduce the load on the blades or to reduce the asymmetrical nature of the loads (i.e., to cause a more symmetric load on the rotor).
FIG. 2 is a block diagram of one embodiment of a system to control blade pitch based on sensor measurements. Proximity sensor(s) 200 generate signals in response to deflection of wind turbine components, for example, the main shaft flange. Turbine controller 210 is coupled to sensor(s) 200 to receive the signals generated by sensor(s) 200. Turbine controller 210 analyzes the signals to determine the forces that caused the deflection of the turbine component.
In one embodiment, turbine controller 210 includes a processor that receives signals (either analog or digital signals) that indicate the output of sensor(s) 200. The processor can be, for example, a general purpose processor that executes instructions, a hardwired control circuit, or a combination of a general purpose processor and hardwired circuitry. In response to the signals received from sensor(s) 200, turbine controller generates control signals that are transmitted to blade pitch controller 220.
Blade pitch controller 220 is coupled to one or more blade rotation drives (e.g., 230, 240, 250) that control the pitch of the blades of the wind turbine. By varying the pitch of the blades, the magnitude and/or the duration of loads placed on the turbine can be reduced thereby improving the overall performance of the wind turbine.
In one embodiment, for feedback control, input signals are blade azimuth position (for all blades), speed of low-speed shaft, and generator output (feedback control is only used at above rate conditions, although it could be used at all conditions in the future). Blade azimuth and low-speed shaft speed can be obtained using, for example, digital output proximity sensors producing pulses from the low-speed shaft bolt pattern.
FIG. 3 is a block diagram of one embodiment of a turbine controller. Turbine controller 380 includes bus 300 or other communication device to communicate information, and processor 310 coupled to bus 300 to process information. While turbine controller 380 is illustrated with a single processor, turbine controller 380 can include multiple processors and/or co-processors. Turbine controller 380 further includes random access memory (RAM) or other dynamic storage device 320 (referred to as memory), coupled to bus 300 to store information and instructions to be executed by processor 310. Memory 320 also can be used to store temporary variables or other intermediate information during execution of instructions by processor 310.
Turbine controller 380 can also include read only memory (ROM) and/or other static storage device 330 coupled to bus 300 to store static information and instructions for processor 310. Data storage device 340 is coupled to bus 300 to store information and instructions. Input/output device(s) 350 can include any device known in the art to provide input data to turbine controller 380 and/or receive output data from turbine controller 380.
Instructions are provided to memory from a storage device, such as magnetic disk, a read-only memory (ROM) integrated circuit, CD-ROM, DVD, via a remote connection that is either wired or wireless providing access to one or more electronically-accessible media, etc. In alternative embodiments, hard-wired circuitry can be used in place of or in combination with software instructions. Thus, execution of sequences of instructions is not limited to any specific combination of hardware circuitry and software instructions.
Sensor interface 360 is an interface that allows turbine controller 380 to communicate with one or more sensors within a wind turbine. For example, sensor interface 360 can be coupled to receive output signals from one or more sensors that detect deflection or loading of wind turbine components as described above. Sensor interface 360 can be, for example, an analog-to-digital converter that converts an analog voltage signal generated by the sensors to a multi-bit digital signal to be used by processor(s) 310.
Processor(s) 310 can then analyze the data and transmit data to a blade pitch controller through input/output device(s) 350 to cause the blade pitch controller to change the pitch of one or more blades of the wind turbine. Processor(s) 310 can also take other actions in response to the signals from the sensors. For example, processor(s) 310 can cause a brake to be applied to stop or slow rotation of the hub or of a rotating shaft.
FIG. 4 is a flow diagram of one embodiment of a process for controlling wind turbine blade pitch in response to component (e.g., main shaft flange) displacement. Signals from one or more sensors are received (processing block 410). The component receiving the signals (e.g., a processor, an analog-to-digital converter) is coupled with the sensors and converts the signals to a usable format, if necessary.
In response to the signals from the sensors, control circuitry (e.g., a processor, hardwired control circuits) determines the load on one or more wind turbine components using the signals from the sensors (processing block 420). The control circuitry can use any mathematical equations known in the art to convert between the input data (e.g., magnitude of displacement) to relevant load data (e.g., forces exerted on a blade of the wind turbine). The load on the rotor blades that caused the displacement as well as any asymmetrical properties of the load can also be determined by the control circuitry.
The control circuitry determines a response to the load condition (processing block 430). For example, in response to an increased load on a blade of the turbine, the control circuitry can determine that the response should be to change the pitch of one or more of the blades of the wind turbine. As another example, the control circuitry can determine that the response should be the application of a brake to stop or slow rotation of the hub.
The control circuitry generates the signal to enable the selected response (processing block 440). For example, the control circuitry can generate a signal in the form of, for example, a data packet or a set of control signals transmitted over individual control lines, to cause a blade pitch controller to change the pitch of one or more blades. If the selected response fails to cause the wind turbine to operate within an acceptable operating range (processing block 450), the process can be repeated as necessary.
FIG. 5 a illustrates a first proximity sensor facing the main shaft flange from a view facing the hub. In the example of FIG. 5 a, proximity sensor 500 is connected to a sensor bracket that is that is connected between main shaft flange 520 and main bearing 530. Other connection techniques as well as other locations can also be used. Any type of proximity sensor known in the art can be used.
Sensor 500 detects motion of main shaft flange 520 in one direction. Use of additional sensors (for example, the sensor of FIG. 5 c, described below) can allow a turbine controller to determine deflection of main shaft flange 520 in three dimensions and thereby determine the loads on various turbine components that caused the deflection. FIG. 5 b illustrates the first proximity sensor facing the main shaft flange from a side view.
FIG. 5 c illustrates a second proximity sensor facing the main shaft flange at a 90° angle with respect to the first proximity sensor. In one embodiment, sensor 550 is positioned in a plane that is orthogonal to the plane of sensor 500 (in FIGS. 5 a and 5 b). In one embodiment, sensor bracket 560 is connected between main shaft flange 520 and main bearing 530. Other connections and other positions can also be used.
Additional and/or other sensors can be used to determine deflection of components other than the main shaft flange. For example, in one embodiment, one or more of the blades of the wind turbine have a proximity sensor to sense forces on the blades. The proximity sensors in the blades are coupled to the turbine controller to provide data to the turbine controller that can be used to determine loads placed on the blades. The turbine controller can, for example, change the pitch of the blades to reduce the loads placed on the blades by wind or other environmental conditions.
FIG. 6 illustrates one embodiment of a hub having a strain gauge. In one embodiment, as illustrated in FIG. 6, quarter bridge welded strain gauge (e.g., 600) are located inside hub 610, near the pitch bearing, and adjacent to the nacelle. One strain gauge is used for each of three axes. Other locations and/or a different number of strain gauges can also be used. In one embodiment, data logger 620 is also located inside of hub 610 and is configured to acquire data from the strain gauge(s).
FIG. 7 illustrates one embodiment of a wind turbine having an inertial measurement unit (IMU). In one embodiment, IMU 700 is connected to main shaft flange 520. IMU 700 is a gyroscope and accelerometer-based device that provides measurement of roll, pitch and yaw angles, and three axis accelerations. IMU 700 is coupled to a turbine controller that determines loads based on IMU measurements.
FIG. 8 illustrates one embodiment of strain gauges attached to the main shaft. In one embodiment, the main shaft is instrumented with weldable strain gauges at 0°, 45° and 90° azimuth. Zero degrees azimuth is defined as blade number one positioned vertically. Alternate positions can also be used for the main shaft strain gauges, for example, strain gauges can be positioned within one or more T-bolts. The main shaft strain gauges are coupled to the turbine controller, which analyzes the data provide by the main shaft strain gauges to determine loads placed on the main shaft and determines whether to change the pitch of the rotor blades.
FIG. 9 illustrates one embodiment of proximity sensors attached to the main shaft. In one embodiment main shaft proximity sensors (e.g., 910, 920, 930) are located adjacent to the gearbox. Sensors 910 and 920 detect rotational rate and sensor 930 detects blade azimuth position. Alternate sensor positions can also be used. For example, proximity sensors can be attached to the blades.
FIG. 10 illustrates one embodiment of ring gear sensor 1000 to measure the displacement of gear box 1010, relative to the bedplate. Support bracket 1020 is connected to the bedplate (not shown in FIG. 10) and positions the sensor adjacent to gear box 1010. Thus, ring gear sensor 1000 detects deflection of gear box 1010 with respect to the bedplate. In one embodiment, ring gear proximity sensors are located at 90° with respect to each other along the perimeter of the gear box ring gear.
In the foregoing specification, the invention has been described with reference to specific embodiments thereof. It will, however, be evident that various modifications and changes can be made thereto without departing from the broader spirit and scope of the invention. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense. Reference in the specification to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.

Claims (27)

1. A wind turbine comprising:
one or more sensors connected to directly detect deflection of a main shaft flange of the wind turbine from one or more predetermined positions and to generate signals corresponding to the detected deflection; and
a control circuit coupled with the one or more sensors to receive the signals and to mitigate a load causing the deflection of the main shaft flange in response to the signals.
2. The wind turbine of claim 1 wherein the control circuit mitigates the load on the main shaft flange by controlling pitch of one or more wind turbine blades.
3. The wind turbine of claim 1 wherein the one or more sensors comprises an accelerometer connected to a main frame.
4. The wind turbine of claim 1 wherein the one or more sensors comprises a proximity sensor connected a reference frame and to the main shaft flange to measure displacement of the main shaft flange.
5. The wind turbine of claim 1 wherein the one or more sensors comprises a strain gauge attached to a hub.
6. The wind turbine of claim 1 wherein the one or more sensors comprises a strain gauge disposed within a T-bolt.
7. The wind turbine of claim 1 wherein the load comprises an asymmetrical load applied across a plurality of turbine blades and mitigating the load comprises reducing the asymmetrical nature of the load.
8. A wind turbine comprising:
one or more proximity sensors connected to a reference frame and to a gearbox to directly measure displacement of the gearbox from one or more predetermined positions and to generate signals corresponding to the detected displacement; and
a control circuit coupled with the one or more sensors to receive the signals and to mitigate a load causing the displacement the gearbox in response to the signals.
9. The wind turbine of claim 8 wherein the control circuit mitigates the load on the gear box by controlling pitch of one or more wind turbine blades.
10. A wind turbine comprising:
one or more proximity sensors to directly detect rotor blade azimuth and rotational speed; and
a control circuit coupled with the one or more proximity sensors to receive the signals and to mitigate a load to the wind turbine in response to signals.
11. The wind turbine of claim 10 wherein the one or more sensors comprises a proximity sensor connected to a rotor blade.
12. The wind turbine of claim 10 wherein the control circuit mitigates the load on the wind turbine blades by controlling pitch of one or more of the wind turbine blades.
13. A wind turbine comprising:
one or more proximity sensors connected to a reference frame and to a gearbox ring-gear to directly measure displacement of the gearbox ring-gear from one or more predetermined positions and to generate signals corresponding to the detected displacement; and
a control circuit coupled with the one or more proximity sensors to receive the signals and to mitigate a load causing the displacement of the gearbox ring-gear in response to signals.
14. The wind turbine of claim 13 wherein the control circuit mitigates the load on the ring-gear by controlling pitch of one or more wind turbine blades.
15. A wind turbine comprising:
means for directly detecting deflection of a main shaft flange of the wind turbine; and
means for mitigating load causing deflection of the main shaft flange in response to the detected deflection of the main shaft flange.
16. The wind turbine of claim 15 wherein the means for mitigating the load compromises means for controlling pitch of one or more blades.
17. The apparatus of claim 15 further comprising:
means for determining loads placed on one or more individual wind turbine blades to cause the load; and
means for changing a pitch of one or more of the wind turbine blades to reduce the asymmetrical nature of the load.
18. A method comprising:
receiving signals from one or more sensors configured to directly detect movement of a main shaft flange of a wind turbine platform atop a tower;
determining a load placed on a rotor of a wind turbine based on the signals from the one or more sensors; and
causing one or more blades of the wind turbine to change pitch based on the determined load.
19. The method of claim 18 wherein the one or more sensors detect deflection of the main shaft flange from an at rest position.
20. The method of claim 18 wherein the one or more sensors determine a strain on the component.
21. The method of claim 18 wherein determining the load placed on the main shaft flange of the wind turbine comprises determining loads placed on one or more individual wind turbine blades.
22. The method of claim 18 wherein causing one or more blades of the wind turbine to change pitch comprises changing a pitch of one or more of the wind turbine blades to reduce the asymmetrical nature of the determined load.
23. A memory device within a wind turbine having stored therein instructions that, when executed, cause one or more processors to:
receive signals from one or more sensors configured to directly detect movement of a main shaft flange of a wind turbine platform atop a tower;
determine a load placed on a rotor of a wind turbine based on the signals from the one or more sensors; and
cause one or more blades of the wind turbine to change pitch based on the determined load.
24. The memory device of claim 23 wherein the one or more sensors detect deflection of the main shaft flange from an at rest position.
25. The memory device of claim 23 wherein the one or more sensors determine a strain on the component.
26. The memory device of claim 23 wherein the instructions that cause the one or more processors to determine the load placed on the main shaft flange of the wind turbine comprise instructions that, when executed, cause the one or more processors to determine loads placed on one or more individual wind turbine blades.
27. The memory device of claim 23 wherein the instructions that cause the one or more processors to cause one or more blades of the wind turbine to change pitch comprise instructions that, when executed, cause the one or more processors to change a pitch of one or more of the wind turbine blades to reduce the asymmetrical nature of the determined load.
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US10/620,485 US7004724B2 (en) 2003-02-03 2003-07-15 Method and apparatus for wind turbine rotor load control based on shaft radial displacement
US11/218,358 US7322794B2 (en) 2003-02-03 2005-09-02 Method and apparatus for condition-based monitoring of wind turbine components

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Cited By (80)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040253093A1 (en) * 2001-12-28 2004-12-16 Masaaki Shibata Up-wind type windmill and operating method therefor
US20060138781A1 (en) * 2004-12-28 2006-06-29 Mitsubishi Heavy Industries, Ltd Wind turbine generator
US20060140761A1 (en) * 2004-12-23 2006-06-29 Lemieux David L Methods and apparatuses for wind turbine fatigue load measurement and assessment
US20070041837A1 (en) * 2003-09-10 2007-02-22 Mitsubishi Heavy Industries, Ltd. Blade-pitch-angle control device and wind power generator
US20070098549A1 (en) * 2005-10-13 2007-05-03 General Electric Company Device for driving a first part of a wind energy turbine with respect to a second part of the wind energy turbine
US20070140847A1 (en) * 2003-11-14 2007-06-21 Martinez De Lizarduy Romo Mari Monitoring and data processing equipment for wind turbines and predictive maintenance system for wind power stations
US20070292260A1 (en) * 2006-06-19 2007-12-20 Bagepalli Bharat Sampathkumara Methods and apparatus for controlling rotary machines
US20080150292A1 (en) * 2006-12-21 2008-06-26 Green Energy Technologies, Inc. Shrouded wind turbine system with yaw control
US20080247873A1 (en) * 2007-04-04 2008-10-09 Siemens Aktiengsellschaft Method of reducing a structural unbalance in a wind turbine rotor and device for performing the method
US20080296906A1 (en) * 2006-06-12 2008-12-04 Daw Shien Scientific Research And Development, Inc. Power generation system using wind turbines
US20090035136A1 (en) * 2006-06-19 2009-02-05 General Electric Company Methods and apparatus for balancing a rotor
US20090044535A1 (en) * 2006-06-12 2009-02-19 Daw Shien Scientific Research And Development, Inc. Efficient vapor (steam) engine/pump in a closed system used at low temperatures as a better stirling heat engine/refrigerator
US20090102198A1 (en) * 2007-10-23 2009-04-23 Siemens Aktiengesellschaft Method for controlling wind turbines, and devices therefore
US20090129925A1 (en) * 2006-10-31 2009-05-21 Vestas Wind Systems A/S Wind Turbine Blade Load Sensor
US20090169357A1 (en) * 2007-12-31 2009-07-02 General Electric Company Methods and apparatus for error reduction in rotor loading measurments
US20090178605A1 (en) * 2005-01-21 2009-07-16 Tufte Brian N Cover system for a boat
US20090191063A1 (en) * 2006-03-20 2009-07-30 Baker Myles L Lightweight composite truss wind turbine blade
US20090211223A1 (en) * 2008-02-22 2009-08-27 James Shihfu Shiao High efficient heat engine process using either water or liquefied gases for its working fluid at lower temperatures
US20090249779A1 (en) * 2006-06-12 2009-10-08 Daw Shien Scientific Research & Development, Inc. Efficient vapor (steam) engine/pump in a closed system used at low temperatures as a better stirling heat engine/refrigerator
US20090301224A1 (en) * 2008-06-06 2009-12-10 General Electric Company Magnetostrictive sensing systems and methods for encoding
US20100007150A1 (en) * 2008-07-10 2010-01-14 General Electric Company Transmission and power generation system having torque reacting joint
US20100021297A1 (en) * 2007-03-16 2010-01-28 Kuehlmeier Lennart Method For Condition Monitoring A Rotor Of A Wind Energy Plant
US20100045037A1 (en) * 2008-08-21 2010-02-25 Daw Shien Scientific Research And Development, Inc. Power generation system using wind turbines
US20100052320A1 (en) * 2008-08-27 2010-03-04 Till Hoffmann Method and apparatus for load measurement in a wind turbine
US20100098541A1 (en) * 2008-10-20 2010-04-22 Benito Pedro L Method and system for operating a wind turbine generator
US20100135801A1 (en) * 2009-10-29 2010-06-03 General Electric Company Systems and methods for testing a wind turbine pitch control system
US20100133814A1 (en) * 2009-06-05 2010-06-03 Christoph Schulten Load identification system and method of assembling the same
US20100135800A1 (en) * 2009-10-29 2010-06-03 General Electric Company Systems and methods for determining the angular position of a wind turbine rotor
US20100156107A1 (en) * 2009-02-09 2010-06-24 Grayhawke Applied Technologies System and method for generating electricity
US20100187820A1 (en) * 2004-02-27 2010-07-29 Mitsubishi Heavy Industries, Ltd. Wind turbine generator, active damping method thereof, and windmill tower
US20100201128A1 (en) * 2007-10-23 2010-08-12 Anton Bech Wind Turbine, A Method For Coupling A First Drive Train Component Of The Drive Train Of A Wind Turbine To A Second Drive Train Component Of The Drive Train And Use Of A Wind Turbine
US20100209243A1 (en) * 2007-06-25 2010-08-19 Siemens Wind Power A/S Monitoring of Blade Frequencies of a Wind Turbine
US20110001319A1 (en) * 2007-11-07 2011-01-06 Vestas Wind Systems A/S Diagnosis of pitch and load defects
US20110044811A1 (en) * 2009-08-20 2011-02-24 Bertolotti Fabio P Wind turbine as wind-direction sensor
US20110064578A1 (en) * 2009-09-14 2011-03-17 Bertolotti Fabio P Wind turbine with high solidity rotor
US20110140422A1 (en) * 2010-06-29 2011-06-16 Detlef Menke Method for controlling a proximity sensor of a wind turbine
US20110142593A1 (en) * 2010-05-28 2011-06-16 Till Hoffmann Method and system for validating wind turbine
US20110148110A1 (en) * 2007-08-13 2011-06-23 Per Egedal Monitoring of blade frequencies of a wind turbine
US20110156392A1 (en) * 2010-03-15 2011-06-30 Thacker Ii Andrew Carlton Wind turbine control
US20110243730A1 (en) * 2010-12-14 2011-10-06 Eric David Eggleston Systems and methods for determining deflection of a wind turbine shaft
US8035242B2 (en) 2010-11-09 2011-10-11 General Electric Company Wind turbine farm and method of controlling at least one wind turbine
DE102010021643A1 (en) 2010-05-26 2011-12-01 Robert Bosch Gmbh Method for determining deflection of head of wind power plant to control load in direction of deflection, involves determining actual inclination value based on actual inclination of tower head and information of acceleration sensor
US8099255B2 (en) 2010-12-16 2012-01-17 General Electric Company System and method for measuring shaft deflection in a wind turbine
DE102010035055A1 (en) 2010-08-21 2012-02-23 Robert Bosch Gmbh Method for adjusting angle of incidence of rotor blade of wind power plant, involves determining controller-based control value based on deviation of angle of incidence of rotor blade with respect to target value
US20120134811A1 (en) * 2011-12-06 2012-05-31 General Electric Company System and method for detecting and/or controlling loads in a wind turbine
US20120134810A1 (en) * 2011-12-06 2012-05-31 General Electric Company System and method for detecting and/or controlling loads in a wind turbine
US8220319B2 (en) 2010-10-21 2012-07-17 General Electric Company Communication system for turbine engine
CN102589793A (en) * 2010-10-21 2012-07-18 通用电气公司 Probe holder for turbine engine sensor
US8227930B2 (en) 2011-08-25 2012-07-24 General Electric Company System and method for adjusting a bending moment of a shaft in a wind turbine
US8240991B2 (en) * 2011-06-23 2012-08-14 General Electric Company Method and system for operating a wind turbine
US20120230820A1 (en) * 2011-03-09 2012-09-13 Ib Frydendal Method and arrangement for detecting a blade pitch angle unbalance of a rotor blade system of a wind turbine
CN102803719A (en) * 2009-06-10 2012-11-28 威力克有限公司 Wind power electricity generating system and relative control method
US8347698B2 (en) 2010-10-21 2013-01-08 General Electric Company Sensor with G-load absorbing shoulder
US20130119662A1 (en) * 2010-03-15 2013-05-16 II Andrew Carlton Thacker Wind turbine control
WO2013097860A1 (en) 2011-12-30 2013-07-04 Vestas Wind Systems A/S Estimating and controlling loading experienced in a structure
TWI403706B (en) * 2009-05-08 2013-08-01 Mitsubishi Heavy Ind Ltd Load measuring apparatus and method and program product
US20140030090A1 (en) * 2012-07-26 2014-01-30 General Electric Company Systems and methods for controlling tower clearance in a wind turbine
EP2713048A2 (en) 2012-09-27 2014-04-02 General Electric Company Asymmetric load control for torsion fatigue reduction in a wind turbine tower
US8876483B2 (en) 2010-01-14 2014-11-04 Neptco, Inc. Wind turbine rotor blade components and methods of making same
US20150056079A1 (en) * 2006-03-10 2015-02-26 Ntn Corporation Roller bearing, retainer segment, spacer and main shaft support structure of wind-power generator
US8998568B2 (en) 2010-10-21 2015-04-07 General Electric Company Sensor packaging for turbine engine
CN104595113A (en) * 2014-12-03 2015-05-06 广西大学 Automatic speed limiting system and method for wind driven generator
US20150204208A1 (en) * 2014-01-21 2015-07-23 Ssb Wind Systems Gmbh & Co. Kg Pitch angle measuring system and method for wind turbines
EP2933477A1 (en) 2014-04-14 2015-10-21 General Electric Company System and method for thrust-speed control of a wind turbine
US20150308285A1 (en) * 2014-04-23 2015-10-29 Senvion Se Wind turbine diagnostic device for generator components
US9194362B2 (en) 2006-12-21 2015-11-24 Green Energy Technologies, Llc Wind turbine shroud and wind turbine system using the shroud
US9316204B2 (en) 2010-11-04 2016-04-19 Wobben Properties Gmbh Components of a wind power plant
WO2016138647A1 (en) * 2015-03-04 2016-09-09 General Electric Company System and method for mitigating loads on a wind turbine
US9593668B2 (en) 2013-09-10 2017-03-14 General Electric Company Methods and systems for reducing amplitude modulation in wind turbines
US9683553B2 (en) 2013-09-06 2017-06-20 General Electric Company System and method for monitoring wind turbine loading
US20170306919A1 (en) * 2014-10-01 2017-10-26 Alstom Renwable Technologies Rotating machine and installation for converting energy comprising such a machine
CN107476942A (en) * 2017-07-31 2017-12-15 南京求精机械厂 A kind of wind power gear case apparatus
US9903341B2 (en) * 2014-05-20 2018-02-27 Acciona Windpower, S.A. Control method for a wind turbine
US9970415B2 (en) 2014-06-12 2018-05-15 General Electric Company Method and system for managing loads on a wind turbine
CN108869195A (en) * 2018-06-21 2018-11-23 湘电风能有限公司 A kind of azimuthal method of measurement wind power generating set impeller
US10137542B2 (en) 2010-01-14 2018-11-27 Senvion Gmbh Wind turbine rotor blade components and machine for making same
US10539119B2 (en) 2017-07-10 2020-01-21 WindESCo, Inc. System and method for augmenting control of a wind turbine assembly
US20220145854A1 (en) * 2019-03-11 2022-05-12 Ventus Engineering GmbH Relative rotor blade misalignment
US11441541B2 (en) 2020-08-24 2022-09-13 General Electric Renovables Espana, S.L. Main shaft assembly of a wind turbine
US11754039B1 (en) * 2022-08-17 2023-09-12 General Electric Renovables Espana, S.L. Load dependent autonomous yaw control for a wind turbine

Families Citing this family (40)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ITBZ20010043A1 (en) 2001-09-13 2003-03-13 High Technology Invest Bv ELECTRIC GENERATOR OPERATED BY WIND ENERGY.
US7322794B2 (en) * 2003-02-03 2008-01-29 General Electric Company Method and apparatus for condition-based monitoring of wind turbine components
ITBZ20040047A1 (en) 2004-09-20 2004-12-20 High Technology Invest Bv ELECTRIC GENERATOR / MOTOR, IN PARTICULAR FOR USE IN WIND PLANTS, ROPE OR HYDRAULIC PLANTS.
ITBZ20050062A1 (en) 2005-11-29 2007-05-30 High Technology Invest Bv PERMANENT MAGNET ROTOR FOR GENERATORS AND ELECTRIC MOTORS
DE602006013011D1 (en) 2005-09-21 2010-04-29 High Technology Invest Bv BEARING SEALING ASSEMBLY WITH LABYRINTH SEALING AND SCREW SEALING COMBINATION
ITBZ20050063A1 (en) 2005-11-29 2007-05-30 High Technology Invest Bv LAMIERINI PACKAGE FOR GENERATORS AND ELECTRIC MOTORS AND PROCEDURE FOR ITS IMPLEMENTATION
ES2348143T3 (en) * 2006-03-15 2010-11-30 Siemens Aktiengesellschaft WIND TURBINE AND METHOD FOR DETERMINING AT LEAST A ROTATION PARAMETER OF A WIND TURBINE ROTOR.
US7602075B2 (en) * 2006-07-06 2009-10-13 Acciona Windpower, S.A. Systems, methods and apparatuses for a wind turbine controller
ES2337645B1 (en) * 2007-09-14 2011-03-11 GAMESA INNOVATION & TECHNOLOGY, S.L. SENSORIZED SHOVEL UNION.
DK200701456A (en) * 2007-10-09 2009-04-10 Siemens Wind Power As Monitoring of a wind turbine's wing frequencies
EP2060785B1 (en) 2007-11-15 2018-12-26 Gamesa Innovation & Technology, S.L. Method and system for operating sensor
DK2108830T3 (en) 2008-01-10 2019-11-25 Siemens Gamesa Renewable Energy As Method for determining fatigue load of a wind turbine and for fatigue load control and corresponding wind turbines
US8287238B2 (en) * 2008-02-29 2012-10-16 General Electric Company Hub pitch gear repair method
CN101971109B (en) * 2008-03-07 2013-07-24 维斯塔斯风力系统有限公司 A method and a control system for controlling a wind turbine
ITMI20081122A1 (en) 2008-06-19 2009-12-20 Rolic Invest Sarl WIND GENERATOR PROVIDED WITH A COOLING SYSTEM
IT1390758B1 (en) 2008-07-23 2011-09-23 Rolic Invest Sarl WIND GENERATOR
NL2001878C2 (en) * 2008-08-07 2010-02-09 Stichting Energie System and method for compensating rotor imbalance for a wind turbine.
IT1391939B1 (en) 2008-11-12 2012-02-02 Rolic Invest Sarl WIND GENERATOR
IT1391770B1 (en) 2008-11-13 2012-01-27 Rolic Invest Sarl WIND GENERATOR FOR THE GENERATION OF ELECTRICITY
IT1392804B1 (en) 2009-01-30 2012-03-23 Rolic Invest Sarl PACKAGING AND PACKAGING METHOD FOR POLE OF WIND GENERATORS
IT1393937B1 (en) 2009-04-09 2012-05-17 Rolic Invest Sarl WIND TURBINE
IT1393707B1 (en) 2009-04-29 2012-05-08 Rolic Invest Sarl WIND POWER PLANT FOR THE GENERATION OF ELECTRICITY
IT1394723B1 (en) 2009-06-10 2012-07-13 Rolic Invest Sarl WIND POWER PLANT FOR THE GENERATION OF ELECTRICITY AND ITS CONTROL METHOD
IT1395148B1 (en) 2009-08-07 2012-09-05 Rolic Invest Sarl METHOD AND APPARATUS FOR ACTIVATION OF AN ELECTRIC MACHINE AND ELECTRIC MACHINE
US20110091321A1 (en) * 2009-10-13 2011-04-21 Baker Myles L Systems and methods for monitoring wind turbine operation
IT1397081B1 (en) 2009-11-23 2012-12-28 Rolic Invest Sarl WIND POWER PLANT FOR THE GENERATION OF ELECTRICITY
IT1398060B1 (en) 2010-02-04 2013-02-07 Wilic Sarl PLANT AND METHOD OF COOLING OF AN ELECTRIC GENERATOR OF AN AIR SPREADER, AND AIRCONDITIONER INCLUDING SUCH A COOLING PLANT
IT1399201B1 (en) 2010-03-30 2013-04-11 Wilic Sarl AEROGENERATOR AND METHOD OF REMOVING A BEARING FROM A AIRCONDITIONER
IT1399511B1 (en) 2010-04-22 2013-04-19 Wilic Sarl ELECTRIC GENERATOR FOR A VENTILATOR AND AEROGENER EQUIPPED WITH THIS ELECTRIC GENERATOR
US20120169326A1 (en) * 2010-12-30 2012-07-05 General Electric Company Methods, systems and apparatus for detecting material defects in combustors of combustion turbine engines
US20120183399A1 (en) * 2011-01-19 2012-07-19 Hamilton Sundstrand Corporation Method and apparatus for balancing wind turbines
ITMI20110375A1 (en) 2011-03-10 2012-09-11 Wilic Sarl WIND TURBINE
ITMI20110378A1 (en) 2011-03-10 2012-09-11 Wilic Sarl ROTARY ELECTRIC MACHINE FOR AEROGENERATOR
ITMI20110377A1 (en) 2011-03-10 2012-09-11 Wilic Sarl ROTARY ELECTRIC MACHINE FOR AEROGENERATOR
DE102011117468B4 (en) * 2011-11-02 2022-10-20 Weidmüller Monitoring Systems Gmbh Method, computing unit and device for monitoring a drive train
DK179416B1 (en) * 2016-03-16 2018-06-18 Deif As Electrical pitch control system and a method for operating at least one rotor blade and use of the system for performing the method.
DK179515B1 (en) * 2017-05-10 2019-02-05 Envision Energy (Denmark) Aps Individual pitch control with hub sensor
CN111456899A (en) * 2020-03-31 2020-07-28 上海电气风电集团股份有限公司 Minimum headroom control system, method, electronic device, and storage medium
CN112727715B (en) * 2020-12-28 2022-08-26 远景能源有限公司 Hub spindle flange dislocation correcting method and system
EP4202217A1 (en) * 2021-12-23 2023-06-28 Siemens Gamesa Renewable Energy Innovation & Technology S.L. Method of determining a tilt and yaw bending moments at a wind turbine shaft by distance sensors

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4298313A (en) * 1979-06-18 1981-11-03 Hohenemser Kurt H Horizontal axis wind generator having adaptive cyclic pitch control
US4420692A (en) * 1982-04-02 1983-12-13 United Technologies Corporation Motion responsive wind turbine tower damping
US4435647A (en) * 1982-04-02 1984-03-06 United Technologies Corporation Predicted motion wind turbine tower damping
US4495423A (en) * 1981-09-10 1985-01-22 Felt Products Mfg. Co. Wind energy conversion system
US4613762A (en) * 1984-12-11 1986-09-23 The United States Of America As Represented By The Secretary Of Agriculture Output responsive field control for wind-driven alternators and generators
US5140856A (en) * 1990-12-03 1992-08-25 Dynamic Rotor Balancing, Inc. In situ balancing of wind turbines
US5225712A (en) * 1991-02-01 1993-07-06 U.S. Windpower, Inc. Variable speed wind turbine with reduced power fluctuation and a static VAR mode of operation
WO2001033075A1 (en) 1999-11-03 2001-05-10 Vestas Wind Systems A/S Method of controlling the operation of a wind turbine and wind turbine for use in said method
US6361275B1 (en) * 1997-07-25 2002-03-26 Aloys Wobben Wind energy installation
US6940186B2 (en) * 2002-05-02 2005-09-06 General Electric Company Wind turbine having sensor elements mounted on rotor blades

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4298313A (en) * 1979-06-18 1981-11-03 Hohenemser Kurt H Horizontal axis wind generator having adaptive cyclic pitch control
US4495423A (en) * 1981-09-10 1985-01-22 Felt Products Mfg. Co. Wind energy conversion system
US4420692A (en) * 1982-04-02 1983-12-13 United Technologies Corporation Motion responsive wind turbine tower damping
US4435647A (en) * 1982-04-02 1984-03-06 United Technologies Corporation Predicted motion wind turbine tower damping
US4613762A (en) * 1984-12-11 1986-09-23 The United States Of America As Represented By The Secretary Of Agriculture Output responsive field control for wind-driven alternators and generators
US5140856A (en) * 1990-12-03 1992-08-25 Dynamic Rotor Balancing, Inc. In situ balancing of wind turbines
US5225712A (en) * 1991-02-01 1993-07-06 U.S. Windpower, Inc. Variable speed wind turbine with reduced power fluctuation and a static VAR mode of operation
US6361275B1 (en) * 1997-07-25 2002-03-26 Aloys Wobben Wind energy installation
WO2001033075A1 (en) 1999-11-03 2001-05-10 Vestas Wind Systems A/S Method of controlling the operation of a wind turbine and wind turbine for use in said method
US6940186B2 (en) * 2002-05-02 2005-09-06 General Electric Company Wind turbine having sensor elements mounted on rotor blades

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
David Lawrence LeMieux, "Rotor Blade Fatigue Reduction on Wind Turbines Using Pitch Control," A Thesis submitted to the Department of General Engineering, Montanna Tech of The University of Montana, May 2001, pp. i-109, Butte, Montana, USA.
N. Kelley et al., "The NREL Large-Scale Turbine Inflow and Response Experiment-Preliminary Results," National Wind Technology Center, National Renewable Energy Laboratory, pp. 412-426, #AIAA-2002-0064, Golden, Colorado.
P. Caselitz et al., "Reduction of Fatigue Loads on Wind Energy Converters by Advanced Control Methods," European Wind Energy Conference, Oct. 1997, pp. 1-4, Dublin Castle, Ireland.

Cited By (149)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080084068A1 (en) * 2001-12-28 2008-04-10 Masaaki Shibata Wind turbine operating apparatus and operating method
US20040253093A1 (en) * 2001-12-28 2004-12-16 Masaaki Shibata Up-wind type windmill and operating method therefor
US8277167B2 (en) 2001-12-28 2012-10-02 Mitsubishi Heavy Industries, Ltd. Wind turbine operating apparatus and operating method
US7436083B2 (en) * 2001-12-28 2008-10-14 Mitsubishi Heavy Industries, Ltd. Up-wind type windmill and operating method therefor
US20070041837A1 (en) * 2003-09-10 2007-02-22 Mitsubishi Heavy Industries, Ltd. Blade-pitch-angle control device and wind power generator
US7452185B2 (en) * 2003-09-10 2008-11-18 Mitsubishi Heavy Industries, Ltd Blade-pitch-angle control device and wind power generator
US7677869B2 (en) * 2003-11-14 2010-03-16 Gamesa Innovation & Technology, S.L. Monitoring and data processing equipment for wind turbines and predictive maintenance system for wind power stations
US20070140847A1 (en) * 2003-11-14 2007-06-21 Martinez De Lizarduy Romo Mari Monitoring and data processing equipment for wind turbines and predictive maintenance system for wind power stations
US8395273B2 (en) 2004-02-27 2013-03-12 Mitsubishi Heavy Industries, Ltd. Wind turbine generator, active damping method thereof, and windmill tower
US8026623B2 (en) 2004-02-27 2011-09-27 Mitsubishi Heavy Industries, Ltd Wind turbine generator, active damping method thereof, and windmill tower
US8546968B2 (en) 2004-02-27 2013-10-01 Mitsubishi Heavy Industries, Ltd. Wind turbine generator, active damping method thereof, and windmill tower
US20100187820A1 (en) * 2004-02-27 2010-07-29 Mitsubishi Heavy Industries, Ltd. Wind turbine generator, active damping method thereof, and windmill tower
US8115331B2 (en) 2004-02-27 2012-02-14 Mitsubishi Heavy Industries, Ltd. Wind turbine generator, active damping method thereof, and windmill tower
US8299643B2 (en) 2004-02-27 2012-10-30 Mitsubishi Heavy Industries, Ltd. Wind turbine generator, active damping method thereof, and windmill tower
US20060140761A1 (en) * 2004-12-23 2006-06-29 Lemieux David L Methods and apparatuses for wind turbine fatigue load measurement and assessment
US7822560B2 (en) * 2004-12-23 2010-10-26 General Electric Company Methods and apparatuses for wind turbine fatigue load measurement and assessment
US7259472B2 (en) * 2004-12-28 2007-08-21 Mitsubishi Heavy Industries, Ltd Wind turbine generator
US20060138781A1 (en) * 2004-12-28 2006-06-29 Mitsubishi Heavy Industries, Ltd Wind turbine generator
US20090178605A1 (en) * 2005-01-21 2009-07-16 Tufte Brian N Cover system for a boat
US20070098549A1 (en) * 2005-10-13 2007-05-03 General Electric Company Device for driving a first part of a wind energy turbine with respect to a second part of the wind energy turbine
US7762771B2 (en) * 2005-10-13 2010-07-27 General Electric Company Device for driving a first part of a wind energy turbine with respect to a second part of the wind energy turbine
US10190576B2 (en) 2006-03-10 2019-01-29 Ntn Corporation Roller bearing, retainer segment, spacer and main shaft support structure of wind-power generator
US9732734B2 (en) * 2006-03-10 2017-08-15 Ntn Corporation Roller bearing, retainer segment, spacer and main shaft support structure of wind-power generator
US20150056079A1 (en) * 2006-03-10 2015-02-26 Ntn Corporation Roller bearing, retainer segment, spacer and main shaft support structure of wind-power generator
US20090191063A1 (en) * 2006-03-20 2009-07-30 Baker Myles L Lightweight composite truss wind turbine blade
US20090196758A1 (en) * 2006-03-20 2009-08-06 Baker Myles L Lightweight composite truss wind turbine blade
US7891948B2 (en) 2006-03-20 2011-02-22 Modular Wind Energy, Inc. Lightweight composite truss wind turbine blade
US7891950B2 (en) 2006-03-20 2011-02-22 Modular Wind Energy, Inc. Lightweight composite truss wind turbine blade
US7891949B2 (en) 2006-03-20 2011-02-22 Modular Wind Energy, Inc. Lightweight composite truss wind turbine blade
US20090044535A1 (en) * 2006-06-12 2009-02-19 Daw Shien Scientific Research And Development, Inc. Efficient vapor (steam) engine/pump in a closed system used at low temperatures as a better stirling heat engine/refrigerator
US20090249779A1 (en) * 2006-06-12 2009-10-08 Daw Shien Scientific Research & Development, Inc. Efficient vapor (steam) engine/pump in a closed system used at low temperatures as a better stirling heat engine/refrigerator
US20080296906A1 (en) * 2006-06-12 2008-12-04 Daw Shien Scientific Research And Development, Inc. Power generation system using wind turbines
US7874797B2 (en) 2006-06-19 2011-01-25 General Electric Company Methods and apparatus for balancing a rotor
US7581921B2 (en) * 2006-06-19 2009-09-01 General Electric Company Methods and apparatus for controlling rotary machines
US20090035136A1 (en) * 2006-06-19 2009-02-05 General Electric Company Methods and apparatus for balancing a rotor
US20070292260A1 (en) * 2006-06-19 2007-12-20 Bagepalli Bharat Sampathkumara Methods and apparatus for controlling rotary machines
US20090129925A1 (en) * 2006-10-31 2009-05-21 Vestas Wind Systems A/S Wind Turbine Blade Load Sensor
US9194362B2 (en) 2006-12-21 2015-11-24 Green Energy Technologies, Llc Wind turbine shroud and wind turbine system using the shroud
US20080150292A1 (en) * 2006-12-21 2008-06-26 Green Energy Technologies, Inc. Shrouded wind turbine system with yaw control
US8257019B2 (en) * 2006-12-21 2012-09-04 Green Energy Technologies, Llc Shrouded wind turbine system with yaw control
US8794903B2 (en) 2006-12-21 2014-08-05 Green Energy Technologies, Llc Shrouded wind turbine system with yaw control
US7887292B2 (en) * 2007-03-16 2011-02-15 Vestas Wind Systems A/S Method for condition monitoring a rotor of a wind energy plant
US20100021297A1 (en) * 2007-03-16 2010-01-28 Kuehlmeier Lennart Method For Condition Monitoring A Rotor Of A Wind Energy Plant
US8714924B2 (en) * 2007-04-04 2014-05-06 Siemens Aktiengesellschaft Method of reducing a structural unbalance in a wind turbine rotor and device for performing the method
US20080247873A1 (en) * 2007-04-04 2008-10-09 Siemens Aktiengsellschaft Method of reducing a structural unbalance in a wind turbine rotor and device for performing the method
US20130294911A1 (en) * 2007-04-04 2013-11-07 Per Egedal Method of reducing a structural unbalance in a wind turbine rotor and device for performing the method
US8506249B2 (en) * 2007-04-04 2013-08-13 Siemens Aktiengesellschaft Method of reducing a structural unbalance in a wind turbine rotor and device for performing the method
US20100209243A1 (en) * 2007-06-25 2010-08-19 Siemens Wind Power A/S Monitoring of Blade Frequencies of a Wind Turbine
US8511988B2 (en) * 2007-06-25 2013-08-20 Siemens Aktiengesellschaft Monitoring of blade frequencies of a wind turbine
US20110148110A1 (en) * 2007-08-13 2011-06-23 Per Egedal Monitoring of blade frequencies of a wind turbine
US8039981B2 (en) * 2007-08-13 2011-10-18 Siemens Aktiengesellschaft Monitoring of blade frequencies of a wind turbine
US20090102198A1 (en) * 2007-10-23 2009-04-23 Siemens Aktiengesellschaft Method for controlling wind turbines, and devices therefore
US20100201128A1 (en) * 2007-10-23 2010-08-12 Anton Bech Wind Turbine, A Method For Coupling A First Drive Train Component Of The Drive Train Of A Wind Turbine To A Second Drive Train Component Of The Drive Train And Use Of A Wind Turbine
US8154139B2 (en) * 2007-10-23 2012-04-10 Siemens Aktiengesellschaft Method for controlling wind turbines, and devices therefore
US20120133139A1 (en) * 2007-10-23 2012-05-31 Per Egedal Method for controlling wind turbines, and devices therefore
US8426996B2 (en) * 2007-10-23 2013-04-23 Siemens Aktiengesellschaft Method for controlling wind turbines, and devices therefore
US7936080B2 (en) * 2007-10-23 2011-05-03 Vestas Wind Systems A/S Wind turbine, a method for coupling a first drive train component of the drive train of a wind turbine to a second drive train component of the drive train and use of a wind turbine
US20110001319A1 (en) * 2007-11-07 2011-01-06 Vestas Wind Systems A/S Diagnosis of pitch and load defects
US7954372B2 (en) 2007-11-07 2011-06-07 Vestas Wind Systems A/S Diagnosis of pitch and load defects
US20090169357A1 (en) * 2007-12-31 2009-07-02 General Electric Company Methods and apparatus for error reduction in rotor loading measurments
US8215905B2 (en) 2007-12-31 2012-07-10 General Electric Corporation Methods and apparatus for error reduction in rotor loading measurements
US20090211223A1 (en) * 2008-02-22 2009-08-27 James Shihfu Shiao High efficient heat engine process using either water or liquefied gases for its working fluid at lower temperatures
US8020455B2 (en) 2008-06-06 2011-09-20 General Electric Company Magnetostrictive sensing systems and methods for encoding
US20090301224A1 (en) * 2008-06-06 2009-12-10 General Electric Company Magnetostrictive sensing systems and methods for encoding
US20100007150A1 (en) * 2008-07-10 2010-01-14 General Electric Company Transmission and power generation system having torque reacting joint
US8287421B2 (en) * 2008-07-10 2012-10-16 General Electric Company Transmission and power generation system having torque reacting joint
US20100045037A1 (en) * 2008-08-21 2010-02-25 Daw Shien Scientific Research And Development, Inc. Power generation system using wind turbines
US8262354B2 (en) 2008-08-27 2012-09-11 General Electric Company Method and apparatus for load measurement in a wind turbine
US20100052320A1 (en) * 2008-08-27 2010-03-04 Till Hoffmann Method and apparatus for load measurement in a wind turbine
US7988414B2 (en) 2008-10-20 2011-08-02 General Electric Company Method and system for operating a wind turbine generator
US20100098541A1 (en) * 2008-10-20 2010-04-22 Benito Pedro L Method and system for operating a wind turbine generator
US8100660B2 (en) 2008-10-31 2012-01-24 Vestas Wind Systems A/S Wind turbine blade load sensor
US20100156105A1 (en) * 2009-02-09 2010-06-24 Grayhawke Applied Technologies Sytem and method for generating electricity
US20100156107A1 (en) * 2009-02-09 2010-06-24 Grayhawke Applied Technologies System and method for generating electricity
US20100156103A1 (en) * 2009-02-09 2010-06-24 Grayhawke Applied Technologies Sytem and method for generating electricity
US20100156108A1 (en) * 2009-02-09 2010-06-24 Grayhawke Applied Technologies Sytem and method for generating electricity
US7821153B2 (en) * 2009-02-09 2010-10-26 Grayhawke Applied Technologies System and method for generating electricity
US7872366B2 (en) 2009-02-09 2011-01-18 Gray R O'neal System and method for generating electricity
US7875992B2 (en) 2009-02-09 2011-01-25 Gray R O'neal System and method for generating electricity
US7948109B2 (en) * 2009-02-09 2011-05-24 Grayhawke Applied Technologies System and method for generating electricity
TWI403706B (en) * 2009-05-08 2013-08-01 Mitsubishi Heavy Ind Ltd Load measuring apparatus and method and program product
US20100133814A1 (en) * 2009-06-05 2010-06-03 Christoph Schulten Load identification system and method of assembling the same
US8222757B2 (en) 2009-06-05 2012-07-17 General Electric Company Load identification system and method of assembling the same
CN102803719A (en) * 2009-06-10 2012-11-28 威力克有限公司 Wind power electricity generating system and relative control method
US20110044811A1 (en) * 2009-08-20 2011-02-24 Bertolotti Fabio P Wind turbine as wind-direction sensor
US20110064578A1 (en) * 2009-09-14 2011-03-17 Bertolotti Fabio P Wind turbine with high solidity rotor
US8562300B2 (en) 2009-09-14 2013-10-22 Hamilton Sundstrand Corporation Wind turbine with high solidity rotor
US20100135801A1 (en) * 2009-10-29 2010-06-03 General Electric Company Systems and methods for testing a wind turbine pitch control system
CN102052911A (en) * 2009-10-29 2011-05-11 通用电气公司 Systems and methods for determining the angular position of a wind turbine rotor
US20100135800A1 (en) * 2009-10-29 2010-06-03 General Electric Company Systems and methods for determining the angular position of a wind turbine rotor
US8070439B2 (en) 2009-10-29 2011-12-06 General Electric Company Systems and methods for testing a wind turbine pitch control system
US7972112B2 (en) 2009-10-29 2011-07-05 General Electric Company Systems and methods for determining the angular position of a wind turbine rotor
US8876483B2 (en) 2010-01-14 2014-11-04 Neptco, Inc. Wind turbine rotor blade components and methods of making same
US9429140B2 (en) 2010-01-14 2016-08-30 Senvion Gmbh Wind turbine rotor blade components and methods of making same
US9945355B2 (en) 2010-01-14 2018-04-17 Senvion Gmbh Wind turbine rotor blade components and methods of making same
US10137542B2 (en) 2010-01-14 2018-11-27 Senvion Gmbh Wind turbine rotor blade components and machine for making same
US9394882B2 (en) 2010-01-14 2016-07-19 Senvion Gmbh Wind turbine rotor blade components and methods of making same
US20130129472A1 (en) * 2010-03-15 2013-05-23 II Andrew Carlton Thacker Wind turbine
US20110156392A1 (en) * 2010-03-15 2011-06-30 Thacker Ii Andrew Carlton Wind turbine control
US8894348B2 (en) * 2010-03-15 2014-11-25 II Andrew Carlton Thacker Wind turbine
US20110158787A1 (en) * 2010-03-15 2011-06-30 Thacker Ii Andrew Carlton Wind turbine
US20130119662A1 (en) * 2010-03-15 2013-05-16 II Andrew Carlton Thacker Wind turbine control
DE102010021643A1 (en) 2010-05-26 2011-12-01 Robert Bosch Gmbh Method for determining deflection of head of wind power plant to control load in direction of deflection, involves determining actual inclination value based on actual inclination of tower head and information of acceleration sensor
US8360722B2 (en) * 2010-05-28 2013-01-29 General Electric Company Method and system for validating wind turbine
US20110142593A1 (en) * 2010-05-28 2011-06-16 Till Hoffmann Method and system for validating wind turbine
US8222760B2 (en) * 2010-06-29 2012-07-17 General Electric Company Method for controlling a proximity sensor of a wind turbine
US20110140422A1 (en) * 2010-06-29 2011-06-16 Detlef Menke Method for controlling a proximity sensor of a wind turbine
DE102010035055A1 (en) 2010-08-21 2012-02-23 Robert Bosch Gmbh Method for adjusting angle of incidence of rotor blade of wind power plant, involves determining controller-based control value based on deviation of angle of incidence of rotor blade with respect to target value
US8220319B2 (en) 2010-10-21 2012-07-17 General Electric Company Communication system for turbine engine
CN102589793A (en) * 2010-10-21 2012-07-18 通用电气公司 Probe holder for turbine engine sensor
US8347698B2 (en) 2010-10-21 2013-01-08 General Electric Company Sensor with G-load absorbing shoulder
US8998568B2 (en) 2010-10-21 2015-04-07 General Electric Company Sensor packaging for turbine engine
US9316204B2 (en) 2010-11-04 2016-04-19 Wobben Properties Gmbh Components of a wind power plant
US8035242B2 (en) 2010-11-09 2011-10-11 General Electric Company Wind turbine farm and method of controlling at least one wind turbine
US20110243730A1 (en) * 2010-12-14 2011-10-06 Eric David Eggleston Systems and methods for determining deflection of a wind turbine shaft
US8099255B2 (en) 2010-12-16 2012-01-17 General Electric Company System and method for measuring shaft deflection in a wind turbine
US20120230820A1 (en) * 2011-03-09 2012-09-13 Ib Frydendal Method and arrangement for detecting a blade pitch angle unbalance of a rotor blade system of a wind turbine
CN102840096B (en) * 2011-06-23 2014-05-14 通用电气公司 Method and system for operating wind turbine
US8240991B2 (en) * 2011-06-23 2012-08-14 General Electric Company Method and system for operating a wind turbine
CN102840096A (en) * 2011-06-23 2012-12-26 通用电气公司 Method and system for operating a wind turbine
US8227930B2 (en) 2011-08-25 2012-07-24 General Electric Company System and method for adjusting a bending moment of a shaft in a wind turbine
US8434996B2 (en) * 2011-12-06 2013-05-07 General Electric Company System and method for detecting and/or controlling loads in a wind turbine
US20120134811A1 (en) * 2011-12-06 2012-05-31 General Electric Company System and method for detecting and/or controlling loads in a wind turbine
US20120134810A1 (en) * 2011-12-06 2012-05-31 General Electric Company System and method for detecting and/or controlling loads in a wind turbine
WO2013097860A1 (en) 2011-12-30 2013-07-04 Vestas Wind Systems A/S Estimating and controlling loading experienced in a structure
US20140030090A1 (en) * 2012-07-26 2014-01-30 General Electric Company Systems and methods for controlling tower clearance in a wind turbine
EP2713048A2 (en) 2012-09-27 2014-04-02 General Electric Company Asymmetric load control for torsion fatigue reduction in a wind turbine tower
US9551320B2 (en) 2012-09-27 2017-01-24 General Electric Company Asymmetric load control for torsion fatigue reduction in a wind turbine tower
US9683553B2 (en) 2013-09-06 2017-06-20 General Electric Company System and method for monitoring wind turbine loading
US9593668B2 (en) 2013-09-10 2017-03-14 General Electric Company Methods and systems for reducing amplitude modulation in wind turbines
US9896959B2 (en) * 2014-01-21 2018-02-20 Ssb Wind Systems Gmbh & Co. Kg Pitch angle measuring system and method for wind turbines
US20150204208A1 (en) * 2014-01-21 2015-07-23 Ssb Wind Systems Gmbh & Co. Kg Pitch angle measuring system and method for wind turbines
EP2933477A1 (en) 2014-04-14 2015-10-21 General Electric Company System and method for thrust-speed control of a wind turbine
US9874107B2 (en) * 2014-04-23 2018-01-23 Senvion Se Wind turbine diagnostic device for generator components
US20150308285A1 (en) * 2014-04-23 2015-10-29 Senvion Se Wind turbine diagnostic device for generator components
US9903341B2 (en) * 2014-05-20 2018-02-27 Acciona Windpower, S.A. Control method for a wind turbine
US9970415B2 (en) 2014-06-12 2018-05-15 General Electric Company Method and system for managing loads on a wind turbine
US20170306919A1 (en) * 2014-10-01 2017-10-26 Alstom Renwable Technologies Rotating machine and installation for converting energy comprising such a machine
US10533530B2 (en) * 2014-10-01 2020-01-14 Ge Renewable Technologies Rotating machine and installation for converting energy comprising such a machine
CN104595113A (en) * 2014-12-03 2015-05-06 广西大学 Automatic speed limiting system and method for wind driven generator
WO2016138647A1 (en) * 2015-03-04 2016-09-09 General Electric Company System and method for mitigating loads on a wind turbine
US10539119B2 (en) 2017-07-10 2020-01-21 WindESCo, Inc. System and method for augmenting control of a wind turbine assembly
US11300102B2 (en) 2017-07-10 2022-04-12 WindESCo, Inc. System and method for augmenting control of a wind turbine assembly
CN107476942A (en) * 2017-07-31 2017-12-15 南京求精机械厂 A kind of wind power gear case apparatus
CN108869195A (en) * 2018-06-21 2018-11-23 湘电风能有限公司 A kind of azimuthal method of measurement wind power generating set impeller
US20220145854A1 (en) * 2019-03-11 2022-05-12 Ventus Engineering GmbH Relative rotor blade misalignment
US11976630B2 (en) * 2019-03-11 2024-05-07 Ventus Engineering GmbH Relative rotor blade misalignment
US11441541B2 (en) 2020-08-24 2022-09-13 General Electric Renovables Espana, S.L. Main shaft assembly of a wind turbine
US11754039B1 (en) * 2022-08-17 2023-09-12 General Electric Renovables Espana, S.L. Load dependent autonomous yaw control for a wind turbine

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